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Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network
المؤلفون المشاركون
Huang, Tao
Jiang, Min
Cai, Yu-Dong
Zhang, Ning
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-18
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
The recently emerging Influenza A/H7N9 virus is reported to be able to infect humans and cause mortality.
However, viral and host factors associated with the infection are poorly understood.
It is suggested by the “guilt by association” rule that interacting proteins share the same or similar functions and hence may be involved in the same pathway.
In this study, we developed a computational method to identify Influenza A/H7N9 virus infection-related human genes based on this rule from the shortest paths in a virus-human protein interaction network.
Finally, we screened out the most significant 20 human genes, which could be the potential infection related genes, providing guidelines for further experimental validation.
Analysis of the 20 genes showed that they were enriched in protein binding, saccharide or polysaccharide metabolism related pathways and oxidative phosphorylation pathways.
We also compared the results with those from human rhinovirus (HRV) and respiratory syncytial virus (RSV) by the same method.
It was indicated that saccharide or polysaccharide metabolism related pathways might be especially associated with the H7N9 infection.
These results could shed some light on the understanding of the virus infection mechanism, providing basis for future experimental biology studies and for the development of effective strategies for H7N9 clinical therapies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Ning& Jiang, Min& Huang, Tao& Cai, Yu-Dong. 2014. Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network. BioMed Research International،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456462
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Ning…[et al.]. Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network. BioMed Research International No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-456462
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Ning& Jiang, Min& Huang, Tao& Cai, Yu-Dong. Identification of Influenza AH7N9 Virus Infection-Related Human Genes Based on Shortest Paths in a Virus-Human Protein Interaction Network. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-456462
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-456462
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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